Advertising Economist: ML Insights Driving Growth

Amazon Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Amazon Advertising is seeking an experienced Economist to build econometric solutions and communicate insights that guide strategy. You will leverage econometrics, ML and large-scale data to optimize advertising performance while preserving the shopper experience.

You'll collaborate with software engineers, data scientists and product partners, run experiments, productionize models, and present results to senior leaders to influence product decisions.

Qualifications

• PhD in Economics preferred.
• Strong background in econometrics and ML.
• Experience with large-scale data analysis.

Responsibilities

• Leverage econometrics and ML models to optimize advertising strategies.
• Influence key business decisions based on insights from models you develop.
• Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
• Work closely with software engineers on detailed requirements to productionize the models you build.
• Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
• Work with other scientists, software developers, and product partners to implement your solutions.

Skills

Econometric modeling

Machine learning

Data analysis

A/B testing

Python

R

Education

PhD in Economics

Tools

Python

R

SQL

SAS

Job description

Amazon Advertising is seeking an experienced Economist to build econometric solutions and communicate insights that guide strategy. You will leverage econometrics, ML and large-scale data to optimize advertising performance while preserving the shopper experience.

You'll collaborate with software engineers, data scientists and product partners, run experiments, productionize models, and present results to senior leaders to influence product decisions.